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4 дня назад

Data Engineer (GCP)

Формат работы
remote (только Colombia/Mexico/Latam)
Тип работы
fulltime
Грейд
middle
Английский
b1
Страна
Mexico/Colombia/Uruguay
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Data Engineer (GCP): Building end-to-end real-time and batch data integrations for an airline cargo business with an accent on BigQuery, APIs, Pub/Sub, Cloud Storage, data quality, and governance. Focus on designing cloud data solutions, developing production-ready pipelines, controlling costs, and translating commercial needs into technical products.

Location: Remote in Colombia, Mexico, Uruguay, or Latin America

Company

hirify.global is a software engineering company delivering data, analytics, and AI solutions for clients across multiple industries.

What you will do

  • Participate in discovery, solution design, MVP development, and production delivery of data products.
  • Build end-to-end real-time and batch data integrations using APIs, Pub/Sub, Cloud Storage, and BigQuery.
  • Apply data quality rules, governance, cataloguing, compliance, logging, metrics, and cost controls across pipelines.
  • Collaborate with commercial teams to translate business needs into technical solutions.
  • Document data processes and models in Confluence.
  • Share knowledge and collaborate with technical peers in an Agile and DataOps environment.

Requirements

  • Proven experience as a Data Engineer or in a similar role.
  • Strong Python and SQL skills.
  • Experience integrating data through cloud services in real time and batch, including APIs, storage, analytical components, and relational databases.
  • Experience with Google Cloud Platform, especially BigQuery; familiarity with Dataform, Cloud Run, Dataflow, Pub/Sub, and Cloud Storage is expected or desirable.
  • Knowledge of data governance, quality, documentation, Git, CI/CD, and Agile methodologies.
  • Fluent Spanish is required; intermediate English is required for documentation and international collaboration.

Nice to have

  • Experience with agentic or AI-assisted development tools.
  • Experience building data products and delivering them to end users.

Culture & Benefits

  • Remote work with flexible work format options and support for equipment and secure access.
  • Vacation, sick pay, and time off for state holidays according to the laws and calendar of the country of employment.
  • Health insurance support for employees and their loved ones.
  • Coverage for IT certifications and access to professional courses, learning platforms, mentoring, and development programs.
  • Supportive environment focused on flexibility, professional growth, open communication, and knowledge sharing.

Hiring process

  • CV review followed by an HR interview.
  • Communication and technical assessments covering English and relevant technologies.
  • Project-team meeting and possible client interview preparation.

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